Determination of Coronary Artery Disease Risk Level of Individuals by Fuzzy Expert System Approach

Year 2022, Volume: 5 Issue: 2, 153 - 160, 21.09.2022

Çağatay Teke

https://doi.org/10.38016/jista.1144535

Abstract

Coronary Artery Disease (CAD) is one of the most important diseases that cause people to die worldwide. Although developments in medicine facilitate the treatment of this disease, there are still some inadequacies in identifying and evaluating risk factors. In this study, various risk factors used in the diagnosis were determined by considering individuals with typical symptoms and complaints related to CAD. In addition, an artificial intelligence system has been developed to determine the CAD risk levels of individuals by using the fuzzy expert system method. The designed system is rule-based, and this rule-based structure was created with the knowledge obtained from medical experts. The system provides self-risk assessment and customized recommendations to reduce individuals' disease risk. In this way, the increase in the number of people who have coronary artery disease can be prevented or delayed.

Keywords

fuzzy logic, Fuzzy expert system, coronary artery disease, chronic diseases, risk assessment, artificial intelligence

Bireylerin Koroner Arter Hastalığı Risk Seviyesinin Bulanık Uzman Sistem Yaklaşımı İle Belirlenmesi

Abstract

Koroner Arter Hastalığı (KAH) dünya genelinde insanların hayatını kaybetmesine sebep olan en önemli hastalıklardan biridir. Tıp alanında yaşanan gelişmeler bu hastalığın tedavisini kolaylaştırsa da risk faktörlerinin belirlenmesi ve değerlendirilmesinde hala birtakım yetersizlikler söz konusudur. Bu çalışmada, KAH ile ilgili yaygın belirti ve şikayetleri olan bireyler göz önüne alınarak tanıda kullanılan çeşitli risk faktörleri belirlenmiştir. Ayrıca bulanık uzman sistem yöntemi kullanılarak bireylerin KAH risk düzeylerini tespit etmek amacıyla bir yapay zeka sistemi geliştirilmiştir. Tasarlanan sistem kural tabanlı olup, bu kural tabanı yapısı tıp uzmanlarından edinilen bilgilerle oluşturulmuştur. Sistem, bireylerin hastalık riskini azaltmak için kendi kendine risk değerlendirmesi ve özelleştirilmiş öneriler sunmaktadır. Bu sayede koroner arter hastalığından muzdarip kişilerin sayısındaki artış önlenebilir veya geciktirilebilir.

Keywords

bulanık mantık, Bulanık uzman sistem, koroner arter hastalığı, kronik hastalıklar, risk değerlendirmesi, yapay zekâ

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